iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1354
Single Precision Score
1694
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
968
180.1 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1833
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3189
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4802
37.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8838
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10777
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3044
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.4 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.9 IPS |
|
|
Text Classification (Q)
|
93% |
268
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.04 IPS |
